Uncertainty Quantification for cross-subject Motor Imagery classification

Prithviraj Manivannan, Ivo Pascal de Jong, Matias Valdenegro-Toro +1

Uncertainty Quantification aims to determine when the prediction from a Machine Learning model is likely to be wrong. Computer Vision research has explored methods for determining…